class_docstr: Class for hyperparameters preprocessing before operation fitting
  :param operation_type: name of the operation
  :param n_samples_data: number of rows in data
code: def correct(self, params: Optional[dict]) -> Optional[dict]:
      if params is None:
          return params
  
      for param in params:
          if param in self.preprocessing_rules:
              for preprocess in self.preprocessing_rules[param]:
                  (
                      params[param],
                      is_final_transformation,
                  ) = self._correct(
                      param_value=params[param],
                      preprocess_type=preprocess,
                  )
  
                  if is_final_transformation:
                      break
  
      return params
  
file_path: FEDOT/fedot/core/operations/hyperparameters_preprocessing.py
imports: import numpy
  from typing import Optional
label_desc: Use image node_id 3 for calling the HyperparametersPreprocessor obj's underlying member method code with example usage: obj.correct(params) and returns: params, params